About the Role

We are looking for a hands-on Data Engineering Lead to run a team of 10 engineers, both onshore and offshore, building cloud data platforms on Google Cloud. This is a leadership role, not a senior individual contributor position. You will set technical direction, review code, and make sure the team delivers reliable, cost-effective data pipelines.

What You'll Do

- Build pipelines:

Design and improve ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub and Cloud Functions

- Own the data platform:

Architect and manage BigQuery, Cloud Storage and Data Fusion for ingesting, transforming and storing data

- Lead the team:

Guide a team of 10 engineers, review code, and set standards for data engineering, CI/CD and monitoring (Cloud Monitoring, Logging)

- Tune performance and cost:

Improve pipeline speed and query efficiency, and control GCP spend through practices like slot reservations and partitioning

- Partner across teams:

Work with data architects,



data scientists and analysts to deliver self-service data platforms and support advanced analytics and ML use cases

- Protect data quality:

Put data validation, lineage and metadata management in place using tools such as Data Catalog and dbt

Required Skills

- Leadership:

Proven experience leading data engineering teams across onshore and offshore locations. Candidates without team leadership experience will not be considered.

- Core technical skills:

SQL, Python, Java or Scala, and distributed systems such as Spark and Beam

- GCP expertise:

Hands-on work with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow) and Terraform

- DevOps:

Familiarity with CI/CD, Git and infrastructure as code

Nice to Have

- GCP certification, such as Professional Data Engineer

- Experience with real-time processing, Vertex AI or multi-cloud environments

📌 GCP Senior Data Engineer (Canada)
🏢 Axiom Global Technologies
📍 Canada